| The problem of concept drift: definitions and related work A Tsymbal Computer Science Department, Trinity College Dublin 106, 2004 | 1543 | 2004 |
| Diversity in search strategies for ensemble feature selection A Tsymbal, M Pechenizkiy, P Cunningham Information fusion 6 (1), 83-98, 2005 | 423 | 2005 |
| A case-based technique for tracking concept drift in spam filtering SJ Delany, P Cunningham, A Tsymbal, L Coyle International Conference on Innovative Techniques and Applications of …, 2004 | 322 | 2004 |
| Dynamic integration of classifiers for handling concept drift A Tsymbal, M Pechenizkiy, P Cunningham, S Puuronen Information fusion 9 (1), 56-68, 2008 | 314 | 2008 |
| Medical ontologies for machine learning and decision support H Martin, A Tsymbal, S Zillner US Patent 7,899,764, 2011 | 290 | 2011 |
| Ensemble feature selection with the simple Bayesian classification A Tsymbal, S Puuronen, DW Patterson Information fusion 4 (2), 87-100, 2003 | 201 | 2003 |
| Ensemble clustering in medical diagnostics D Greene, A Tsymbal, N Bolshakova, P Cunningham Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, 576-581, 2004 | 162 | 2004 |
| Class noise and supervised learning in medical domains: The effect of feature extraction M Pechenizkiy, A Tsymbal, S Puuronen, O Pechenizkiy 19th IEEE symposium on computer-based medical systems (CBMS'06), 708-713, 2006 | 137 | 2006 |
| PCA-based feature transformation for classification: Issues in medical diagnostics M Pechenizkiy, A Tsymbal, S Puuronen Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, 535-540, 2004 | 117 | 2004 |
| Dynamic integration with random forests A Tsymbal, M Pechenizkiy, P Cunningham Machine Learning: ECML 2006: 17th European Conference on Machine Learning …, 2006 | 113 | 2006 |
| Method and system for automatic detection and classification of coronary stenoses in cardiac CT volumes S Mittal, Y Zheng, B Georgescu, F Vega-Higuera, SK Zhou, D Comaniciu, ... US Patent 8,526,699, 2013 | 112 | 2013 |
| Dynamic integration of regression models N Rooney, D Patterson, S Anand, A Tsymbal Multiple Classifier Systems: 5th International Workshop, MCS 2004, Cagliari …, 2004 | 97 | 2004 |
| Detection, grading and classification of coronary stenoses in computed tomography angiography BM Kelm, S Mittal, Y Zheng, A Tsymbal, D Bernhardt, F Vega-Higuera, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 87 | 2011 |
| Method and system for medical decision support using organ models and learning based discriminative distance functions I Voigt, D Vitanovski, RI Ionasec, A Tsymbal, B Georgescu, SK Zhou, ... US Patent 8,812,431, 2014 | 85 | 2014 |
| A dynamic integration algorithm for an ensemble of classifiers S Puuronen, V Terziyan, A Tsymbal Foundations of Intelligent Systems: 11th International Symposium, ISMIS’99 …, 1999 | 82 | 1999 |
| Handling local concept drift with dynamic integration of classifiers: Domain of antibiotic resistance in nosocomial infections A Tsymbal, M Pechenizkiy, P Cunningham, S Puuronen 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 679-684, 2006 | 78 | 2006 |
| Bagging and boosting with dynamic integration of classifiers A Tsymbal, S Puuronen Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000 | 78 | 2000 |
| A review of explanation and explanation in case-based reasoning D Doyle, A Tsymbal, P Cunningham Trinity College Dublin, Department of Computer Science, 2003 | 62 | 2003 |
| Eigenvector-Based Feature Extraction for Classification. A Tsymbal, S Puuronen, M Pechenizkiy, M Baumgarten, DW Patterson FLAIRS, 354-358, 2002 | 58 | 2002 |
| Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomography M Hammon, P Dankerl, A Tsymbal, M Wels, M Kelm, M May, M Suehling, ... European radiology 23, 1862-1870, 2013 | 54 | 2013 |
